In recent years, a large number of RDF datasets have been built and published on the Web
in fields as diverse as linguistics or life sciences, as well as general datasets such as …

Dataset search aims to find datasets that are relevant to a keyword query. Existing dataset
search engines rely on conventional sparse retrieval models (eg, BM25). Dense models (eg …

Ad hoc dataset retrieval is a trending topic in IR research. Methods and systems are evolving
from metadata-based to content-based ones which exploit the data itself for improving …

Dataset search, or more specifically, ad hoc dataset retrieval which is a trending specialized
IR task, has received increasing attention in both academia and industry. While methods …

Reusing published datasets on the Web is of great interest to researchers and developers.
Their data needs may be met by submitting queries to a dataset search engine to retrieve …

The large volume of open data on the Web is expected to be reused and create value.
Finding the right data to reuse is a non-trivial task addressed by the recent dataset search …

The steadily rising number of datasets is making it increasingly difficult for researchers and
practitioners to be aware of all datasets, particularly of the most relevant datasets for a given …

To help in making sense of the ever-increasing number of data sources available on the
Web, in this article we tackle the problem of enabling automatic discovery and querying of …

In light of the growing availability and significance of open data, the problem of dataset
search has attracted great attention in the field of information retrieval. Nevertheless, current …

RDF Knowledge Graphs (or Datasets) contain valuable information that can be exploited for
a variety of real-world tasks. However, due to the enormous size of the available RDF …